Parse Philippine Supreme Court decisions issued in PDF format as text.
Project description
corpus-unpdf
Parse Philippine Supreme Court decisions issued in PDF format as text; hopefully, this can be utilized in the LawSQL dataset.
Documentation
See documentation.
Development
Checkout code, create a new virtual environment:
poetry add corpus-unpdf # python -m pip install corpus-unpdf
poetry update # install dependencies
poetry shell
Run tests:
pytest
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
corpus_unpdf-0.0.5.tar.gz
(12.3 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file corpus_unpdf-0.0.5.tar.gz.
File metadata
- Download URL: corpus_unpdf-0.0.5.tar.gz
- Upload date:
- Size: 12.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.3.2 CPython/3.10.6 Darwin/22.2.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
ca5e92af23894f08a2d83e1250c87442ba54667264529e4ca2c3020c9c38db23
|
|
| MD5 |
20f55ec7989366e9754e594f18ceb85a
|
|
| BLAKE2b-256 |
160ba719572b343062871db1345bcf86cfd4cf2b8912bee73b10f8e6b024aba5
|
File details
Details for the file corpus_unpdf-0.0.5-py3-none-any.whl.
File metadata
- Download URL: corpus_unpdf-0.0.5-py3-none-any.whl
- Upload date:
- Size: 16.3 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.3.2 CPython/3.10.6 Darwin/22.2.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
6e2f70fb52681900d09f4b168ace6f1dd349d5da5bed1b1181d88d4f11234835
|
|
| MD5 |
673332e68ad7d54f65ec0050ef893040
|
|
| BLAKE2b-256 |
d88eb44a992f4bf5083bae16c9d937b041b0824b36412a90fa66b88fe302ae02
|
